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Journal Abstract Search

557 related items for PubMed ID: 33879893

  • 1. [Semiquantitative parameters of 18F-FDG PET/CT, gene mutation states of epidermal growth factor receptor and anaplastic lymphoma kinase in prognosis evaluation of patients with lung adenocarcinoma].
    Liao XH, Wang RF, Liu M, Chen XQ, Xiong Y, Nong L, Yin L, Zhang BY, DU YJ.
    Beijing Da Xue Xue Bao Yi Xue Ban; 2020 Oct 20; 53(2):246-254. PubMed ID: 33879893
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  • 4. [Evaluate the value of (18)F-FDG PET-CT imaging in predicting the mutationsin epidermal growth factor receptor in lung adenocarcinoma].
    Ding CY, Yang WP, Guo Z, Sun J, Li YY, Li TR.
    Zhonghua Zhong Liu Za Zhi; 2017 Jul 23; 39(7):528-531. PubMed ID: 28728300
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  • 5. [Prognostic value of pretreatment (18)F-FDG PET-CT metabolic parameters in patients with advanced extranodal NK/T cell lymphoma].
    Wu LL, Liang JH, Wang L, Xu W, Ding CY.
    Zhonghua Zhong Liu Za Zhi; 2019 Nov 23; 41(11):831-836. PubMed ID: 31770850
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  • 6. FDG PET/CT metabolic tumor volume and total lesion glycolysis predict prognosis in patients with advanced lung adenocarcinoma.
    Chung HW, Lee KY, Kim HJ, Kim WS, So Y.
    J Cancer Res Clin Oncol; 2014 Jan 23; 140(1):89-98. PubMed ID: 24194352
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  • 7. [Prognostic value of pretreatment (18)F-FDG PET-CT for patients with advanced diffuse large B-cell lymphoma].
    Ding CY, Guo Z, Sun J, Yang WP, Li TR.
    Zhonghua Zhong Liu Za Zhi; 2018 Jul 23; 40(7):528-533. PubMed ID: 30060362
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  • 8. Prognostic value of metabolic tumor burden from (18)F-FDG PET in surgical patients with non-small-cell lung cancer.
    Zhang H, Wroblewski K, Liao S, Kampalath R, Penney BC, Zhang Y, Pu Y.
    Acad Radiol; 2013 Jan 23; 20(1):32-40. PubMed ID: 22999369
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  • 9. Predictive value of intratumor metabolic and heterogeneity parameters on [18F]FDG PET/CT for EGFR mutations in patients with lung adenocarcinoma.
    Ni M, Wang S, Liu X, Shi Q, Zhu X, Zhang Y, Xie Q, Lv W.
    Jpn J Radiol; 2023 Feb 23; 41(2):209-218. PubMed ID: 36219311
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  • 10. Value of 18F-FDG PET/CT for predicting EGFR mutations and positive ALK expression in patients with non-small cell lung cancer: a retrospective analysis of 849 Chinese patients.
    Lv Z, Fan J, Xu J, Wu F, Huang Q, Guo M, Liao T, Liu S, Lan X, Liao S, Geng W, Jin Y.
    Eur J Nucl Med Mol Imaging; 2018 May 23; 45(5):735-750. PubMed ID: 29164298
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  • 11. The value on SUV-derived parameters assessed on 18F-FDG PET/CT for predicting mediastinal lymph node metastasis in non-small cell lung cancer.
    Liao X, Liu M, Li S, Huang W, Guo C, Liu J, Xiong Y, Zhang J, Fan Y, Wang R.
    BMC Med Imaging; 2023 Apr 05; 23(1):49. PubMed ID: 37020286
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  • 13. Prognostic value of metabolic variables of [18F]FDG PET/CT in surgically resected stage I lung adenocarcinoma.
    Wang XY, Zhao YF, Liu Y, Yang YK, Wu N.
    Medicine (Baltimore); 2017 Sep 05; 96(35):e7941. PubMed ID: 28858121
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  • 15. Prognostic significance of semi-quantitative FDG-PET parameters in stage I non-small cell lung cancer treated with carbon-ion radiotherapy.
    Shrestha S, Higuchi T, Shirai K, Tokue A, Shrestha S, Saitoh JI, Hirasawa H, Ohno T, Nakano T, Tsushima Y.
    Eur J Nucl Med Mol Imaging; 2020 May 05; 47(5):1220-1227. PubMed ID: 31758225
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  • 16. Prognostic Value of Baseline 18F-FDG PET/CT Functional Parameters in Patients with Advanced Lung Adenocarcinoma Stratified by EGFR Mutation Status.
    Wang D, Zhang M, Gao X, Yu L.
    PLoS One; 2016 May 05; 11(6):e0158307. PubMed ID: 27336755
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  • 18. Prognostic value of whole-body total lesion glycolysis at pretreatment FDG PET/CT in non-small cell lung cancer.
    Chen HH, Chiu NT, Su WC, Guo HR, Lee BF.
    Radiology; 2012 Aug 05; 264(2):559-66. PubMed ID: 22692034
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  • 20. Evaluation of the prognostic value of different methods of calculating the tumour metabolic volume with 18F-FDG PET/CT, in patients with diffuse large cell B-cell lymphoma.
    Guzmán Ortiz S, Mucientes Rasilla J, Vargas Núñez JA, Royuela A, Navarro Matilla B, Mitjavila Casanovas M.
    Rev Esp Med Nucl Imagen Mol (Engl Ed); 2020 Aug 05; 39(6):340-346. PubMed ID: 32646783
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